Readit NewsOras commented on Show HN: Fanfa – Interactive and animated Mermaid diagrams fanfa.dev/... · Posted by u/bairess
Nice! I always looked for a solution to animate diagrams as it would help a lot in visualising the workflow.
Feedback:
1. I tried different mermaid diagrams from https://mermaid.live/, and your animation is only working with classes and flowcharts. It didn't work with the sequence diagram (which is the most interesting to me).
2. It would be great to control the animation to be a sequence instead of one animation for all arrows at once. What I would like to do is show fellow devs the workflow from start to finish, according to the spec.
I appreciate that this is just a start, but it looks promising and has great potential. Good luck!
“With the acquisition of Confluent, IBM will provide the smart data platform for enterprise IT, purpose-built for AI.”
https://newsroom.ibm.com/2025-12-08-ibm-to-acquire-confluent...
I don't understand how this acquisition is relevant for AI.
AI Agent for Kafka Consumer group
/s
Oras commented on Show HN: Chargenda – One Dashboard for All Company Subscriptions chargenda.com/... · Posted by u/brokeceo7
How does it detect subscriptions? or do I have to enter subscriptions manually?
Oras commented on Netflix to Acquire Warner Bros about.netflix.com/en/news... · Posted by u/meetpateltech
Netflix is `while profitable(): make_sequel()` which _always_ ends with shitty content and incomplete stories.
They are agile
Went to ahref to check a domain, saw 500 and came here to check.
I have a few domains on cloudflare and all of them are working with no issues so it might not be a global issue
Oras commented on Leak confirms OpenAI is preparing ads on ChatGPT for public roll out bleepingcomputer.com/news... · Posted by u/fleahunter
Oras commented on So you wanna build a local RAG? blog.yakkomajuri.com/blog... · Posted by u/pedriquepacheco
Super noob in vector embeddings: I never considered that tables would be a complexifier. (beyond defining in a parseable format for ingestion).
Do vector databases do better with long grouped text vs table formats?
The issue is the ingestion (extracting the right data in the right format). This is mainly an issue in PDFs and sometimes when there are tables added as images in Docx too. You need a mix of text and OCR extraction to get the data correctly first before start chunking and adding embeddings
Oras commented on So you wanna build a local RAG? blog.yakkomajuri.com/blog... · Posted by u/pedriquepacheco
The hardest part in RAQ is document parsing. If you only consider text then it should be ok, but once you start having tables, tables going multiple pages, charts, ignore TOC when available, footnotes … etc, that part becomes really hard and accuracy suffers to get the context regardless of what chunking do you use.
There are some patterns to help such as RAPTOR where you make ingestion content aware and instead of just ingesting content, you start using LLMs to question and summarise the content and save that to the vector database.
But reality is, having one size fits all for RAQ is not an easy task.
It's doing pretty well, actually. /s
- Unemployment Rate: 5.0% (highest since 2016, excluding the pandemic).
- Unemployed People: Around 1.79 million (aged 16+).
- Payrolled Employees: Fell by 109,000 (0.4%) year-on-year by September 2025.
- Job Vacancies: Decreased to 717,000 in Q3 2025, below pre-pandemic levels.
- Unemployed per Vacancy: Increased to 2.4 in June-August 2025, up from 2.3.
Sources:
https://commonslibrary.parliament.uk/research-briefings/cbp-...
https://www.ons.gov.uk/employmentandlabourmarket/peopleinwor...